Doctoral Dissertations
Date of Award
5-2024
Degree Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Energy Science and Engineering
Major Professor
Daniel J. Costinett
Committee Members
Kevin L. Tomsovic, Nicole McFarlane, Leon M. Tolbert
Abstract
Electrical power consumption has become ever prominent in modern society. Switch mode power supplies, now more than ever, have become a foundation for residential, commercial, and industrial electrical needs. These demands require numerous advanced power converters, and modeling plays a vital role in the design of these converters. Commonly, modeling is completed using either dedicated hand analysis, which must be completed individually for each topology, or time-stepping circuit simulations, which are insufficiently rapid for broad analysis considering a wide range of potential designs or operating points. Discrete time state-space modeling of switching converters has shown merits in rapid analysis and generality to arbitrary circuit topologies but is hampered by difficulty incorporating nonlinear elements. This thesis provides a framework to correct limitations of discrete time state-space modeling and leverage its utility in the converter design process.
Recommended Citation
Baxter, Jared, "Discrete Time State-Space Modeling Framework for Switched-Mode Power Supplies. " PhD diss., University of Tennessee, 2024.
https://trace.tennessee.edu/utk_graddiss/10091